Energy management of multi-mode plug-in hybrid electric vehicle using multi-agent deep reinforcement learning M Hua, C Zhang, F Zhang, Z Li, X Yu, H Xu, Q Zhou Applied Energy 348, 121526, 2023 | 21 | 2023 |
Dedicated adaptive particle swarm optimization algorithm for digital twin based control optimization of the plug-in hybrid vehicle C Zhang, Q Zhou, B Shuai, H Williams, Y Li, L Hua, H Xu IEEE Transactions on Transportation Electrification 9 (2), 3137-3148, 2022 | 9 | 2022 |
The digital twin modelling of the electrified vehicle based on a hybrid terminating control of particle swarm optimization C Zhang, Q Zhou, Y Li, L Hua, H Xu IFAC-PapersOnLine 54 (10), 552-557, 2021 | 5 | 2021 |
Surrogate modelling for battery state-of-charge estimation in electric vehicles based on pseudo-2-dimensional model and gradient boosting machines M Hua, Q Zhou, C Wang, C Zhang, B Shuai, H Xu Energy Proceedings, 2021 | 4 | 2021 |
Cuboid equivalent consumption minimization strategy for energy management of multi-mode plug-in hybrid vehicles considering diverse time scale objectives C Zhang, Q Zhou, M Hua, H Xu, M Bassett, F Zhang Applied Energy 351, 121901, 2023 | 2 | 2023 |
Multi-agent deep reinforcement learning for charge-sustaining control of multi-mode hybrid vehicles M Hua, Q Zhou, C Zhang, H Xu, W Liu arXiv preprint arXiv:2209.02633, 2022 | 2 | 2022 |
Online double-layer system identification scheme for battery state-of-health prediction C Zhang, Q Zhou, M Hua, C Wang, H Xu Proceedings of the International Conference on Applied Energy, Thailand …, 2021 | 2 | 2021 |
Energy management of multi-mode hybrid electric vehicles based on hand-shaking multi-agent learning M Hua, Z Li, Q Zhou arXiv preprint arXiv:2209.02633, 2022 | 1 | 2022 |
Transferable Representation Model Driven by Gaussion Process Regression for Real-time Energy Management of Plug-in Hybrid Vehicles Q Zhou, Y Li, C Zhang, L Hua, H Williams, H Xu 2021 5th CAA International Conference on Vehicular Control and Intelligence …, 2021 | | 2021 |